Crossmark

Renewable energy, forest cover, export diversification, and ecological footprint: a machine learning application in moderating eco-innovations on agriculture in the BRICS-T economies

Crossref DOI link: https://doi.org/10.1007/s11356-023-27973-4

Published Online: 2023-06-23

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Padhan, Hemachandra https://orcid.org/0000-0003-2971-7032
Ghosh, Sudeshna

Hammoudeh, Shawkat
License Information

Text and Data Mining valid from 2023-06-23

Version of Record valid from 2023-06-23
More Information

Article History

Received: 20 December 2022

Accepted: 24 May 2023

First Online: 23 June 2023

Declarations

:

: All the researchers or all co-authors have positively agreed to participate in this research work effectively and contribute drastically.

: All co-authors agree to publish this work in this journal ethically.

: The authors declare no competing interests.

Document is current

Any future updates will be listed below